Supermicro Liquid Cooling Solutions
Superior Effectiveness of Liquid Cooling with Proven Deployments at Scale
Globally, data centers use between two and four Terawatt Hours (TWh) of electricity per year (about 1 to 3% of global energy use), with an expectation to grow to between 2% and 8% by 2030. Therefore, reducing energy consumption in a data center is both good for the environment and good for business. Lowering a data center's Power Usage Effectiveness (PUE) by reducing the computing infrastructure's electricity consumption and the facility consumption for cooling lowers the OPEX and carbon emissions from power generation.
Green computing is about maximizing the performance of a server and a data center while minimizing the environmental impact. Specific actions and purchasing decisions can affect power usage at the server level and the lifecycle of the server, while other actions can reduce the PUE of the data center.
Supermicro is a leader in designing and delivering the components that make up Green computing. Supermicro servers are designed to require less power at a given performance level. This feature is accomplished through a design that shares components when possible. In addition, Supermicro servers are designed so that individual subsystems, such as the CPU, Memory, or storage, can be upgraded without the need to replace the entire chassis. Using this disaggregated design greatly reduces E-waste and lowers costs when acquiring new technology.
Supermicro products reduce power consumption in the following ways:
The Resource-Saving Architecture operates in a large-scale datacenter environment leveraging Supermicro Rack Scale Design (RSD) to manage racks of disaggregated servers, pooled composable storage, and networking with industry-standard Redfish management. When view over a three- to-five-year refresh cycle, disaggregated rack scale design will deliver on-average a higher performance and more efficient servers at lower costs than a traditional rip-and-replace model by allowing data centers to independently optimize adoption of new and improved technologies.
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